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Interpreting observational studies: why empirical calibration is needed to correct p-values
Often the literature makes assertions of medical product effects on the basis of ‘ p < 0.05’. The underlying premise is that at this threshold, there is only a 5% probability that the observed effect would be seen by chance when in reality there is no effect. In observational studies, much more t...
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| Publicado no: | Stat Med |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BlackWell Publishing Ltd
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4285234/ https://ncbi.nlm.nih.gov/pubmed/23900808 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5925 |
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